Carrick, C.; Watters, C.: Automatic association of news items (1997)
0.00
0.0028629373 = product of:
0.0057258746 = sum of:
0.0057258746 = product of:
0.011451749 = sum of:
0.011451749 = weight(_text_:a in 1549) [ClassicSimilarity], result of:
0.011451749 = score(doc=1549,freq=12.0), product of:
0.06116359 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.053045183 = queryNorm
0.18723148 = fieldWeight in 1549, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046875 = fieldNorm(doc=1549)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- Examines the problem of the association of related times of different media type, specifically photos and stories involved in the automatic generation of electronic editions. Determines to what degree any 2 news items refer to the same news event. This metric can be used: to link multimedia items that can be shown together, such as a video, photo, and text story related to a shipwreck or state visit; and to form clusters of very similar items from a variety of sources so that 1 or 2 can be chosen to represent that event in an edition. Discusses the specific assocoation of text and photo news items, although the approach applies to a larger domain of news including scripted news video clips and sripted radio broadcasts
- Footnote
- Contribution to a special issue devoted to electronic newspapers
- Type
- a